Senior Python Developer

1 week ago

Sahibzada Ajit Singh Nagar, India Techrbm Full time

Sr Python Developer (AI/ML Projects)Location : Onsite | MohaliExperience : 6-9 YearsEmployment Type : Full-TimeRole Overview : We are looking for a Senior Python Developer with deep expertise in AI/ML frameworks, data engineering, and scalable application development. The candidate will work on high-velocity AI/ML projects-ranging from predictive analytics and recommendation engines to generative AI platforms-where fast delivery and iteration are Responsibilities : - Design & Develop : Build robust Python-based applications for AI/ML, data processing, and automation.- Model Integration : Implement, fine-tune, and deploy ML/DL models using TensorFlow, PyTorch, Scikit-learn, Hugging Face.- Data Engineering : Work with structured/unstructured datasets, build pipelines (ETL, real-time streaming), and optimize data processing.- Fast Iterations : Deliver MVPs and Proof-of-Concepts quickly, balancing speed with scalability.- Cloud Deployment : Implement and deploy ML workloads on AWS, Azure, or GCP with Docker/Kubernetes.- Collaboration : Work closely with data scientists, frontend engineers (React), and product owners to deliver end-to-end AI solutions.- Automation & Performance : Optimize ML workflows, implement MLOps (CI/CD for ML), and automate retraining pipelines.- Mentorship : Guide junior developers, share best practices, and enforce coding and testing Skills & Experience : - 6 to 9 years of experience in Python development, with at least 5+ years in AI/ML-focused projects.- Strong expertise in Python, FastAPI/Django for API and microservices.- Proficiency in ML/DL frameworks : TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers.- Experience with data engineering tools (Pandas, Spark, Airflow, Kafka).- Hands-on with cloud-native ML deployments (AWS Sagemaker, Azure ML, GCP Vertex AI).- Familiarity with MLOps pipelines (Kubeflow, MLflow, DVC, CI/CD).- Knowledge of SQL & NoSQL databases (Postgres, MongoDB, Redis).- Strong understanding of AI/ML lifecycle - from model training to monitoring in production.- Exposure to generative AI, NLP, or computer vision is a strong Skills : - Ability to deliver under tight timelines without compromising quality.- Strong problem-solving and debugging mindset.- Excellent client-facing and communication skills.- Leadership ability in a cross-functional, fast-paced : - Bachelor's/Master's degree in Computer/Data Science, AI, or related field.- Certifications in AI/ML, Cloud, or Data Engineering are Join Us?- Work on cutting-edge AI, ML, and generative AI projects for global clients.- Fast-track career growth in a rapidly scaling IT services company.- Opportunity to shape AI/ML delivery frameworks for enterprise clients.- Competitive compensation + performance bonuses. (ref:hirist.tech)

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